Machine Learning Engineer

4 weeks ago

London, Greater London, United Kingdom Unreal Gigs Full time
Unreal GigsMachine Learning Engineer

We are seeking a skilled Machine Learning Engineer to join our team at Unreal Gigs. As a Machine Learning Engineer, you will work alongside data scientists, software engineers, and product managers to build machine learning solutions that power intelligent applications and services.

Key Responsibilities:
  1. Design and Develop Machine Learning Models: Build and deploy machine learning models using algorithms such as regression, classification, clustering, and deep learning.
  2. Model Training and Hyperparameter Tuning: Experiment with different model architectures and optimize hyperparameters to improve model accuracy and efficiency.
  3. Data Processing and Feature Engineering: Collaborate with data engineers and scientists to preprocess, clean, and transform large datasets into formats that are suitable for machine learning.
  4. Deploy Models into Production: Implement machine learning models in production environments, ensuring that they are scalable, reliable, and efficient.
  5. Monitor and Improve Model Performance: Continuously monitor model performance in production, detecting issues such as model drift or degradation.
  6. Collaborate with Cross-Functional Teams: Work closely with software developers, product managers, and data scientists to integrate machine learning models into products and services.
  7. Stay Current with AI and Machine Learning Trends: Keep up-to-date with the latest developments in machine learning, deep learning, and AI.
Requirements:
  • Machine Learning Expertise: Strong knowledge of machine learning algorithms, including supervised and unsupervised learning techniques.
  • Programming and Software Development: Proficiency in programming languages such as Python, R, or Scala, with experience writing production-level code.
  • Data Engineering and Feature Engineering: Hands-on experience with data preprocessing, feature selection, and engineering.
  • Model Deployment and DevOps: Experience deploying machine learning models into production using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker.
  • Collaboration and Communication: Excellent collaboration skills, with the ability to work closely with cross-functional teams to translate business requirements into machine learning solutions.
Work with Us:

At Unreal Gigs, we offer a competitive package, including:

  • Competitive salary
  • Generous paid time off
  • Flexible work schedules
  • Professional development opportunities
  • Wellness programs
  • Life and disability insurance
  • Employee assistance program
  • Tuition reimbursement
  • Community engagement opportunities

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